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The article explores how AI systems, driven by capitalist incentives, will evolve from simply reflecting internet content to being tuned to pander to user biases and corporate interests, eventually confirming whatever the user is most likely to believe.
This paper studies how humans decide when to delegate to AI and when to adopt AI suggestions in cooperative question answering, finding that confirmation bias drives suboptimal trust decisions such as under-reliance on correct AI outputs.